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Personal data
name Márton Szemenyei
name of institution Budapest University of Technology and Economics
doctoral school BME Doctoral School of Electrical Engineering
Supervision
thesis supervisor Ferenc Vajda
one supervisor or with co-supervisor individual
degree PhD
starting of doctoral studies 2014
date of final certificate (year,month) 2018/08
Publications
2020

Szemenyei Márton: Neural Graph Node Classification vie Self-Attention, In: Kiss, Bálint; Szirmay-Kalos, László (szerk.) Proceedings of the Workshop on the Advances of Information Technology 2020, BME VIK Irányítástechnika és Informatika Tanszék (2020) pp. 33-38.
type of document: Part of book/Proceedings Paper
language: English
2019

Szemenyei Márton, Estivill-Castro Vladimir: ROBO: Robust, Fully Neural Object Detection for Robot Soccer, In: Chalup, Stephan; Niemueller, Tim; Suthakorn, Jackrit; Williams, Mary-Anne (szerk.) RoboCup 2019: Robot World Cup XXIII, Springer International Publishing (2019) pp. 309-322.
type of document: Part of book/Proceedings Paper
language: English
URL 
2018

Szemenyei Márton: Evolutionary Scene Arrangement for Adaptive Augmented Reality Systems, In: Bálint, Kiss; László, Szirmay-Kalos (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2018) pp. 10-17.
type of document: Part of book/Proceedings Paper
language: English
2018

Szemenyei Márton, Vajda Ferenc: 3D Object Detection and Scene Optimization for Tangible Augmented Reality, PERIODICA POLYTECHNICA-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 62: (2) pp. 25-37.
type of document: Journal paper/Article
language: English
URL 
2017

Szemenyei Márton, Vajda Ferenc: 3D Object Detection using Vectorial Graph Node Embedding, In: Kiss, Bálint; Szirmay-Kalos, László (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2017) pp. 45-52.
type of document: Part of book/Proceedings Paper
language: English
2017

Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Objects Composed of Vector Sets, INTERNATIONAL JOURNAL OF APPLIED MATHEMATICS AND COMPUTER SCIENCE 27: (1) pp. 169-180.
type of document: Journal paper/Article
number of independent citations: 3
language: English
URL 
2016

Szemenyei Márton, Vajda Ferenc: Optimal Feature Selection for Objects Composed of Vector Sets, In: Szirmay-Kalos, L; Renner, G (szerk.) VIII. Magyar Számítógépes Grafika és Geometria Konferencia, GRAFGEO 2016, Neumann János Számítógép-tudományi Társaság (NJSZT) (2016) pp. 7-14.
type of document: Part of book/Proceedings Paper
language: English
2016

Szemenyei Márton, Vajda Ferenc: Dimension Reduction for Structured Composite Classes in Multi-Object Environments, In: Valeri, Mladenov (szerk.) Proceedings of the 15th International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases, WSEAS Press (2016) pp. 134-141.
type of document: Part of book/Proceedings Paper
language: English
2015

Szemenyei Márton, Vajda Ferenc: Learning 3D Object Recognition Using Graphs Based on Primitive Shapes, In: B, Kiss; L, Szirmay-Kalos (szerk.) Proceedings of the Workshop on the Advances of Information Technology, BME Irányítástechnika és Informatika Tanszék (2015) pp. 126-133.
type of document: Part of book/Proceedings Paper
language: English
2014

Szemenyei Márton, Vajda Ferenc: Learning Shape Matching for Augmented Reality, In: Szerk.: Szirmay-Kalos László, Szerk.: Renner Gábor VII. Magyar Számítógépes Grafika és Geometria Konferencia. Budapest: Neumann János Számítógép-tudományi Társaság, 2014. pp. 67-71.
type of document: Part of book/Proceedings Paper
language: English
Number of independent citations to these publications:
Scientometric data
list of publications and citations
number of scientific publications that meet accreditation criteria:
25
number of scientific publications:
25
monographs and professional books:
1
monographs/books in which chapters/sections were contributed:
 
number of independent citations to scientific publications and creative works:
7


2020. X. 20.
ODT online ülés
Az ODT következő, online ülésére 2020. november 6-án 10.00 órakor kerül sor.

 
All rights reserved © 2007, Hungarian Doctoral Council. Doctoral Council registration number at commissioner for data protection: 02003/0001. Program version: 2.2358 ( 2017. X. 31. )